Abstract
Background: Due to the high transmissibility of SARS-CoV-2, accurate diagnosis is essential for effective infection control, but the gold standard, real-time reverse transcriptase-polymerase chain reaction (RT-PCR), is costly, slow, and test capacity has at times been insufficient. We compared the accuracy of clinician diagnosis of COVID-19 against RT-PCR in a general adult population. Methods: COVID-19 diagnosis data by 30th September 2021 for participants in an ongoing population-based cohort study of adults in Western Sweden were retrieved from registers, based on positive RT-PCR and clinician diagnosis using recommended ICD-10 codes. We calculated accuracy measures of clinician diagnosis using RT-PCR as reference for all subjects and stratified by age, gender, BMI, and comorbidity collected pre-COVID-19. Results: Of 42,621 subjects, 3,936 (9.2%) and 5705 (13.4%) had had COVID-19 identified by RT-PCR and clinician diagnosis, respectively. Sensitivity and specificity of clinician diagnosis against RT-PCR were 78% (95%CI 77–80%) and 93% (95%CI 93–93%), respectively. Positive predictive value (PPV) was 54% (95%CI 53–55%), while negative predictive value (NPV) was 98% (95%CI 98–98%) and Youden’s index 71% (95%CI 70–72%). These estimates were similar between men and women, across age groups, BMI categories, and between patients with and without asthma. However, while specificity, NPV, and Youden’s index were similar between patients with and without chronic obstructive pulmonary disease (COPD), sensitivity was slightly higher in patients with (84% [95%CI 74–90%]) than those without (78% [95%CI 77–79%]) COPD. Conclusions: The accuracy of clinician diagnosis for COVID-19 is adequate, regardless of gender, age, BMI, and asthma, and thus can be used for screening purposes to supplement RT-PCR.
| Original language | English |
|---|---|
| Article number | 10 |
| Number of pages | 14 |
| Journal | Respiratory Research |
| Volume | 24 |
| DOIs | |
| Publication status | Published - Jan 2023 |
| Publication type | A1 Journal article-refereed |
Funding
We thank the participants for their involvement in the study. We also thank Helén Törnqvist, Helen Friberg, Lina Rönnebjerg, Louise Olausson, and Maryanne Raneklint at Krefting Research Centre for data collection. Open access funding provided by University of Gothenburg. The study was supported by funding from the VBG Group Herman Krefting Foundation on Asthma and Allergy. Additional funding was received from the Swedish Research Council, the Swedish Heart–Lung Foundation, the Swedish Asthma and Allergy Foundation, and ALF agreement (Västra Götaland) (Grants from the Swedish state under the agreement between the Swedish Government and the county councils). BIN acknowledges the support of the Knut and Alice Wallenberg Foundation, and the Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Sweden. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Asthma
- Clinical diagnosis
- COPD
- COVID-19
- ICD-10
- Negative predictive value
- Positive predictive value
- RT-PCR
- Sensitivity
- Specificity
- Validation
- Youden index
Publication forum classification
- Publication forum level 2
ASJC Scopus subject areas
- Pulmonary and Respiratory Medicine
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